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Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2021
ISBN13: 9780128211847
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Elsevier Science e druk, 2021 9780128211847
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Samenvatting

Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications illustrates recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) and their applications in nonlinear dynamical systems, computer science, analog and digital systems, and in neuromorphic circuits and artificial intelligence. The book is mainly devoted to recent results, critical aspects and perspectives of ongoing research on relevant topics, all involving networks of mem-elements devices in diverse applications. Sections contribute to the discussion of memristive materials and transport mechanisms, presenting various types of physical structures that can be fabricated to realize mem-elements in integrated circuits and device modeling.

As the last decade has seen an increasing interest in recent advances in mem-elements and their applications in neuromorphic circuits and artificial intelligence, this book will attract researchers in various fields.

Specificaties

ISBN13:9780128211847
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

<p>Part I: Mem-elements and their emulators</p> <p>1. The fourth circuit element was found: a brief history<br>2. Implementing memristor emulators in hardware<br>3. On the FPGA implementation of chaotic oscillators based on memristive circuits<br>4. Microwave memristive components for smart RF front-end modules<br>5. The modeling of memcapacitor oscillator motion with ANN and its nonlinear control application<br>6. Rich dynamics of memristor based Liénard systems<br>7. Hidden extreme multistability generated from a novel memristive two-scroll chaotic system<br>8. Extreme multistability, hidden chaotic attractors and amplitude controls in an absolute memristor Van der Pol–Duffing circuit: dynamical analysis and electronic implementation<br>9. Memristor-based novel 4D chaotic system without equilibria<br>10. Memristor Helmholtz oscillator: analysis, electronic implementation, synchronization and chaos control using single controller<br>11. Design guidelines for physical implementation of fractional-order integrators and its application in memristive systems<br>12. Control of bursting oscillations in memristor based Wien-bridge oscillator</p> <p>Part II: Applications of mem-elements</p> <p>13. Memristor, mem-systems and neuromorphic applications: a review<br>14. Guidelines for benchmarking non-ideal analog memristive crossbars for neural networks<br>15. Bipolar resistive switching in biomaterials: case studies of DNA and melanin-based bio-memristive devices<br>16. Nonvolatile memristive logic: a road to in-memory computing<br>17. Implementation of organic RRAM with ink-jet printer: from design to using in RFID-based application<br>18. Neuromorphic vision networks for face recognition<br>19. Synaptic devices based on HfO2 memristors<br>20. Analog circuit integration of backpropagation learning in memristive HTM architecture<br>21. Multi-stable patterns coexisting in memristor synapse-coupled Hopfield neural network<br>22. Fuzzy memristive networks<br>23. Fuzzy integral sliding mode technique for synchronization of memristive neural networks<br>24. Robust adaptive control of fractional-order memristive neural networks<br>25. Learning memristive spiking neurons and beyond<br></p>

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        Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications